Posts Categorized: Tutorials

CALLING ALL DEVELOPERS! Our API servers at indico are written in Python using Tornado as a server framework. Tornado is a Python web framework and asynchronous networking library originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections. Some of the APIs we provide take some… Read more

Get the ipython/Jupyter notebook on Github: indico-plotlines A few months ago, a great video of Kurt Vonnegut circulated the web. He describes an idea for plotting the simple shapes of stories as good vs. ill fortune across the length of the story. He says: “There’s no reason why these simple shapes of stories can’t be fed… Read more

Here at indico, we work to make it as easy as possible to translate an idea into reality and I want to show you how using indico’s predictive models can be the simplest part of your web app. Table of Contents Overview What we’ll build What you’ll need Getting set up Our Flask app Flask project structure Starting… Read more

Understanding how your customers or users feel about your brand or products is important, especially for creating something that people love. We’ll be showing you how to find the sentiment of the results of any search on Twitter in 10 minutes with only a spreadsheet and a little creative thinking. The power of Twitter comes… Read more

Email, a tool invented over 45 years ago, remains the most trusted form of online interaction as it stands decentralized in a world of social applications. With a little help from the indico Sentiment API, you can quickly go from having a large corpus of written emails to a visualization of how the sentiment in… Read more

Introduction This tutorial will teach you how to create a simple image similarity web application using the indico Image Features API with Python and JavaScript. The process is composed of two parts: Cache your dataset’s image features using Python. Create your web app using JavaScript. This tutorial assumes that you’re already familiar with Python and… Read more

We’re happy to showcase a side project from our Head of Research, Alec Radford. Using regression based machine learning techniques, he’s recently released an open-source image stylization library, stylize, for Python. Feel free to check out the repo and play with the code there! Here’s what he has to say about it: Inspired by the… Read more

Our Head of Research, Alec Radford, speaking on deep learning with Python and the Theano library. The emphasis of the talk is on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs. You can find the SlideShare presentation below. View on Slideshare: Introduction to Deep Learning with Python… Read more